BCM-type synaptic plasticity model using a linear summation of calcium elevations as a sliding threshold

Authors:
Hiroki Kurashige;Yutaka Sakai
Affiliations:
Graduate school of Engineering, Tamagawa University, Tokyo, Japan;Faculty of Engineering, Tamagawa University, Tokyo, Japan
Venue:
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Year:
2006

Citing 2
Cited 1

A generalized Hebbian rule for activity-dependent synaptic modification

Neural Networks
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning

Neural Computation

BCM and membrane potential: alternative ways to timing dependent plasticity

ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I

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Abstract

It has been considered that an amount of calcium elevation in a synaptic spine determines whether the synapse is potentiated or depressed. However, it has been pointed out that simple application of the principle can not reproduce properties of spike-timing-dependent plasticity (STDP). To solve the problem, we present a possible mechanism using dynamically sliding threshold as the linear summation of calcium elevations induced by single pre-synaptic and post-synaptic spikes. We demonstrate that the model can reproduce the timing dependence of biological STDP. In addition, we find that the model can reproduce the dependence of biological STDP on the initial synaptic strength, which is found to be asymmetric for synaptic potentiation and depression, whereas no explicit initial-strength dependence nor asymmetric mechanism are incorporated into the model.